ISEEKYAN/mbridge

Training library for Megatron-based models with bidirectional Hugging Face conversion capability

MCore-Bridge: Providing Megatron-Core model definitions for state-of-the-art large models and making Megatron training as simple as Transformers — with support for 300+ large language models (Qwen3-Next, GLM-5.3, Deepseek-V4, MiniMax-2.7, ...) and 200+ multimodal large models (Qwen3.8, Qwen3-Omni, Gemma4, ...).

Additional code for Stable-baselines3 to load and upload models from the Hub.

Utils for Unsloth https://github.com/unslothai/unsloth

This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transformers library) into inference-ready formats that run efficiently on Qualcomm Cloud AIxx (AI100, AI200 and so on) accelerators.

Train transformer language models with reinforcement learning.

Scalable toolkit for efficient model reinforcement

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Muon is Scalable for LLM Training